numpy.i0() function | Python

numpy.obj2sctype() function – Python

Last Updated : 18 Jun, 2020

numpy.obj2sctype() function return the scalar dtype or NumPy equivalent of Python type of an object.

Syntax : numpy.obj2sctype(rep, default = None) Parameters : rep : [any] The object of which the type is returned. default : [any, optional] If given, this is returned for objects whose types can not be determined. If not given, None is returned for those objects. Return : [dtype or Python type] Return the data type of rep.

Code #1 :

Python3

# Python program explaining
# numpy.obj2sctype() function
         
# importing numpy as geek 
import numpy as geek 
     
gfg = geek.obj2sctype(geek.float64)
   
print (gfg)

Output :

class 'numpy.float64'

Code #2 :

Python3

# Python program explaining
# numpy.obj2sctype() function
         
# importing numpy as geek 
import numpy as geek 
     
gfg = geek.obj2sctype(geek.array([1.j]))
   
print (gfg)

Output :

class 'numpy.complex128'

numpy.i0() function | Python

sanjoy_62

Improve

Article Tags :

Practice Tags :

python

Similar Reads

numpy.promote_types() function â€“ Python

numpy.promote_types() function is a symmetric function which returns the data type with the smallest size and smallest scalar kind to which both type1 and type2 may be safely cast. The returned data type is always in native byte order. Syntax : numpy.promote_types(type1, type2) Parameters : type1 :

Python oct() Function

Python oct() function takes an integer and returns the octal representation in a string format. In this article, we will see how we can convert an integer to an octal in Python. Python oct() Function SyntaxSyntax : oct(x) Parameters: x - Must be an integer number and can be in either binary, decimal

numpy.i0() function | Python

numpy.i0() function is the modified Bessel function of the first kind, order 0. it's usually denoted by I0. Syntax : numpy.i0(x) Parameters : x : [array_like, dtype float or complex] Argument of the Bessel function. Return : [ndarray, shape = x.shape, dtype = x.dtype] The modified Bessel function ev

Python | numpy.issubsctype() function

numpy.issubsctype() function is used to determine whether the first argumentis a subclass of the second argument.If the first argument is a subclass of the second argument it returns true, otherwise it returns false. Syntax : numpy.issubsctype(arg1, arg2) Parameters : arg1, arg2 : dtype or dtype spe

numpy.who function - Python

numpy.who() function print the NumPy arrays in the given dictionary. Syntax : numpy.who(vardict = None) Parameters : vardict : [dict, optional] A dictionary possibly containing ndarrays. Return : Returns â€˜Noneâ€™. If there is no dictionary passed in or vardict is None then returns NumPy arrays in the

numpy.real() function - Python

numpy.real() function return the real part of the complex argument. Syntax : numpy.real(arr) Parameters : arr : [array_like] Input array. Return : [ndarray or scalar] The real component of the complex argument. If val is real, the type of val is used for the output. If val has complex elements, the

numpy.imag() function - Python

numpy.imag() function return the imaginary part of the complex argument. Syntax : numpy.imag(arr) Parameters : arr : [array_like] Input array. Return : [ndarray or scalar] The imaginary component of the complex argument. If val is real, the type of val is used for the output. If val has complex elem

numpy.sctype2char() function â€“ Python

numpy.sctype2char() function return the string representation of a scalar dtype. Syntax : numpy.sctype2char(sctype) Parameters : sctype : [scalar dtype or object] If a sctype is a scalar dtype, the corresponding string character is returned. If an object, sctype2char tries to infer its scalar type a

Python | numpy.issctype() function

numpy.issctype() function is used to determine whether the given object represents a scalar data-type.If the given object represents a scalar data-type it returns true, otherwise it returns false. Syntax : numpy.issctype(rep) Parameters : rep : any input. Return : [bool] Boolean result of check whet

numpy.iinfo() function â€“ Python

numpy.iinfo() function shows machine limits for integer types. Syntax : numpy.iinfo(dtype) Parameters : dtype : [integer type, dtype, or instance] The kind of integer data type to get information about. Return : Machine limits for integer types. Code #1 : Python3 # Python program explaining # numpy.